Add training summary

README.md

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+# resnet50
+
+**Best Validation Accuracy:** `0.9050`
+
+## Metadata
+- **Model Name**: `resnet50`
+- **Optimizer**: `adamw`
+- **Scheduler**: `cosine`
+- **Weight Decay**: `0.0005`
+- **Warmup Epochs**: `3`
+- **Patience**: `7`
+- **Amp**: `True`
+- **Seed**: `42`
+- **Batch Size**: `32`
+- **Initial Lr**: `0.0005`
+- **Total Epochs Ran**: `14`
+- **Early Stopped**: `True`
+- **Training Time Seconds**: `33306.75762796402`
+- **Num Parameters**: `22067009`
+- **Device**: `NVIDIA A100-SXM4-40GB`
+- **Run Id**: `resnet-tuned`
+
+## Training Configuration
+- Epochs: `14`
+- Batch size: `32`
+- Learning rate (initial): `0.0005`
+
+## Training Logs (Per Epoch)
+| Epoch | Train Loss | Train Acc | Val Loss | Val Acc | LR |
+|-------|------------|-----------|----------|---------|----|
+| 1 | 0.2662 | 0.8921 | 0.2935 | 0.8786 | 0.000167 |
+| 2 | 0.2245 | 0.9125 | 0.3381 | 0.8763 | 0.000333 |
+| 3 | 0.2090 | 0.9196 | 0.4355 | 0.8174 | 0.000500 |
+| 4 | 0.1841 | 0.9304 | 0.3426 | 0.8751 | 0.000500 |
+| 5 | 0.1678 | 0.9376 | 0.3754 | 0.8611 | 0.000499 |
+| 6 | 0.1554 | 0.9430 | 0.4509 | 0.8415 | 0.000495 |
+| 7 | 0.1447 | 0.9468 | 0.2905 | 0.9050 | 0.000488 |
+| 8 | 0.1373 | 0.9502 | 0.4505 | 0.8444 | 0.000478 |
+| 9 | 0.1297 | 0.9539 | 0.4726 | 0.8473 | 0.000467 |
+| 10 | 0.1224 | 0.9569 | 0.3371 | 0.8867 | 0.000452 |
+| 11 | 0.1167 | 0.9583 | 0.3782 | 0.8741 | 0.000436 |
+| 12 | 0.1115 | 0.9604 | 0.4738 | 0.8645 | 0.000417 |
+| 13 | 0.1052 | 0.9626 | 0.3477 | 0.8896 | 0.000397 |
+| 14 | 0.0998 | 0.9647 | 0.4067 | 0.8845 | 0.000375 |